classification
The gap between an AI agent deciding to call a tool and that call actually executing is where policy enforcement belongs. Most deployments leave that gap...
When an MCP-compatible AI agent decides to call a tool, that call executes before most security controls even see it. The gap is not theoretical. A...
Publishing a security component as open source under the MIT licence does something a closed binary cannot: every security engineer, AI platform team, and...
Most threat intelligence arrives after an attack is already underway. A campaign lands in inboxes, a URL fires, an analyst pivots on an IOC, and the...
Tool calls in agentic AI systems run with whatever permissions the hosting process holds. Without a gate between the agent and the tool, there is no...
Identity-based attacks succeed because defenders see the signal too late. A credential leaks, sits on a dark-web forum for days or weeks, and the account...
An AI agent that can call tools, query databases, and execute code operates with the same trust level as the credentials it runs under. If nothing checks...
Most enterprise data security failures trace back to the same gap: data existed, moved, and was shared before anyone decided what it was. Classification...
When Compliance Requires Proof, Not Promises: Data Security Controls That Produce Auditable Evidence
Regulatory auditors increasingly ask for evidence, not policies. A written data-handling policy satisfies no one; a timestamped record of who accessed...